Intraventricular 4D flow cardiovascular magnetic resonance for assessing patients with heart failure with preserved ejection fraction: a pilot study.

Diagnosing heart failure with preserved ejection fraction (HFpEF) remains challenging. Intraventricular four-dimensional flow (4D flow) phase-contrast cardiovascular magnetic resonance (CMR) can assess different components of left ventricular (LV) flow including direct flow, delayed ejection, retained inflow and residual volume. This could be utilised to identify HFpEF. This study investigated if intraventricular 4D flow CMR could differentiate HFpEF patients from non-HFpEF and asymptomatic controls. Suspected HFpEF patients and asymptomatic controls were recruited prospectively. HFpEF patients were confirmed using European Society of Cardiology (ESC) 2021 expert recommendations. Non-HFpEF patients were diagnosed if suspected HFpEF patients did not fulfil ESC 2021 criteria. LV direct flow, delayed ejection, retained inflow and residual volume were obtained from 4D flow CMR images. Receiver operating characteristic (ROC) curves were plotted. 63 subjects (25 HFpEF patients, 22 non-HFpEF patients and 16 asymptomatic controls) were included in this study. 46% were male, mean age 69.8 ± 9.1 years. CMR 4D flow derived LV direct flow and residual volume could differentiate HFpEF vs combined group of non-HFpEF and asymptomatic controls (p < 0.001 for both) as well as HFpEF vs non-HFpEF patients (p = 0.021 and p = 0.005, respectively). Among the 4 parameters, direct flow had the largest area under curve (AUC) of 0.781 when comparing HFpEF vs combined group of non-HFpEF and asymptomatic controls, while residual volume had the largest AUC of 0.740 when comparing HFpEF and non-HFpEF patients. CMR 4D flow derived LV direct flow and residual volume show promise in differentiating HFpEF patients from non-HFpEF patients.

Development and validation of risk prediction models for COVID-19 positivity in a hospital setting.

OBJECTIVES: To develop: (1) two validated risk prediction models for coronavirus disease-2019 (COVID-19) positivity using readily available parameters in a general hospital setting; (2) nomograms and probabilities to allow clinical utilisation. METHODS: Patients with and without COVID-19 were included from 4 Hong Kong hospitals. The database was randomly split into 2:1: for model development database (n = 895) and validation database (n = 435). Multivariable logistic regression was utilised for model creation and validated with the Hosmer-Lemeshow (H-L) test and calibration plot. Nomograms and probabilities set at 0.1, 0.2, 0.4 and 0.6 were calculated to determine sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV). RESULTS: A total of 1330 patients (mean age 58.2 ± 24.5 years; 50.7% males; 296 COVID-19 positive) were recruited. The first prediction model developed had age, total white blood cell count, chest x-ray appearances and contact history as significant predictors (AUC = 0.911 [CI = 0.880-0.941]). The second model developed has the same variables except contact history (AUC = 0.880 [CI = 0.844-0.916]). Both were externally validated on the H-L test (p = 0.781 and 0.155, respectively) and calibration plot. Models were converted to nomograms. Lower probabilities give higher sensitivity and NPV; higher probabilities give higher specificity and PPV. CONCLUSION: Two simple-to-use validated nomograms were developed with excellent AUCs based on readily available parameters and can be considered for clinical utilisation.

New Directions in Pediatric Palliative Care Education for Preclinical Medical and Nursing Students.

OBJECTIVES: Since insufficient education has partially contributed to challenges in providing pediatric palliative care (PPC), a cross-sectional questionnaire study was conducted to explore the knowledge, attitudes, and educational needs of preclinical medical and nursing students in Hong Kong. METHODS: Pretested self-administered 44-item questionnaires with written informed consent were distributed to 241 medical and nursing students at Li Ka Shing Faculty of Medicine, the University of Hong Kong, between February and March 2019. This questionnaire covered eleven categories related to participants' knowledge of and attitudes towards PPC. A convenience sampling method was used. Data analysis was performed with descriptive statistics, chi-squared, and Fisher's exact test. RESULTS: Only 38.3% of participants had heard of PPC before, but 73.5% advocated for its local commencement. A large number, with more in nursing, misunderstood fundamental palliative concepts and pain assessment methods. Many reported that undergraduate curricula should include PPC since they were not prepared to deal and cope with dying children. More medical students identified multidisciplinary approaches in PPC while less believed that they were mentally prepared to discuss death and dying. The majority indicated family as the final decision maker, even for teenage patients. Although a large proportion agreed that PPC should be delivered at home since the diagnosis of a life-limiting illness, only a few were aware of the suggested referral structure. CONCLUSIONS: Most healthcare students were supportive of PPC despite their limited exposure. PPC education on palliative principles, pain management, multidisciplinary approaches, and emotional coping skills is needed and welcomed among students.